The human head model is constructed with the help of the High Frequency Structure Simulator (HFSS) software in this paper. The distributions of the specific absorption rate (SAR) in the human head are studied, and then, the influence of the head model dimensions and electrical parameters are discussed. The results show that the absorption of the electromagnetic radiation in the human head is mainly concentrated on the skin and brain tissue, the skull layer absorption is very little. The SAR in the skull and brain tissue increases along with the decreases of the model dimensions. The SAR in the skin increases along with the increase of the electrical parameters. The trends of SAR are more obvious when the head dimensions and electrical parameters were changed at the same time.
{"title":"The effects of head parameters on the specific absorption rate in the human head","authors":"Changqi Zhu, Dongsheng Wu, Lanlan Ping, Wenli Liang","doi":"10.1109/BMEI.2015.7401542","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401542","url":null,"abstract":"The human head model is constructed with the help of the High Frequency Structure Simulator (HFSS) software in this paper. The distributions of the specific absorption rate (SAR) in the human head are studied, and then, the influence of the head model dimensions and electrical parameters are discussed. The results show that the absorption of the electromagnetic radiation in the human head is mainly concentrated on the skin and brain tissue, the skull layer absorption is very little. The SAR in the skull and brain tissue increases along with the decreases of the model dimensions. The SAR in the skin increases along with the increase of the electrical parameters. The trends of SAR are more obvious when the head dimensions and electrical parameters were changed at the same time.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123050311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401619
Fanghua Yan, Guoqiang Liu, Yayu Zheng
With the rapid development of Internet, web information is being more and more colorful. However, mixed color information makes people with low vision see webpage unclearly when they surf the Internet. For people with low vision cannot distinguish so many colors, enhancing the contrast between text or image and background is considered as the most effective way to improve this situation. Based on people with low vision's perception of difference between different colors, this paper designs a webpage discoloration algorithm based on HTML5. The algorithm produces a visual effect by adjusting the text and background colors, as well as the colors in images to the range that people with low vision can identify. Text discoloration is completed by adjusting the text style properties. OTSU algorithm based on block segmentation algorithm implements image discoloration, through the way of pixel point to point, applies look-up table method to transform color of the original image into a typical color. The result shows that the algorithm is able to realize webpage discoloration effects, enhance the contrast of the webpage and better meet the needs of people with low vision browsing webpage.
{"title":"An HTML5 based discoloration algorithm for people with low vision","authors":"Fanghua Yan, Guoqiang Liu, Yayu Zheng","doi":"10.1109/BMEI.2015.7401619","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401619","url":null,"abstract":"With the rapid development of Internet, web information is being more and more colorful. However, mixed color information makes people with low vision see webpage unclearly when they surf the Internet. For people with low vision cannot distinguish so many colors, enhancing the contrast between text or image and background is considered as the most effective way to improve this situation. Based on people with low vision's perception of difference between different colors, this paper designs a webpage discoloration algorithm based on HTML5. The algorithm produces a visual effect by adjusting the text and background colors, as well as the colors in images to the range that people with low vision can identify. Text discoloration is completed by adjusting the text style properties. OTSU algorithm based on block segmentation algorithm implements image discoloration, through the way of pixel point to point, applies look-up table method to transform color of the original image into a typical color. The result shows that the algorithm is able to realize webpage discoloration effects, enhance the contrast of the webpage and better meet the needs of people with low vision browsing webpage.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116632454","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401469
Wei Guo, Yuanyuan Wang, Jinhua Yu
Speckle noise is a phenomenon inherent in any coherent imaging system and decreases the signal-to-noise ratio (SNR), which brings down the imaging quality. Speckle noise reduction is particularly important in the tissue harmonic imaging (THI) since it has the lower energy and the poorer SNR than the fundamental imaging (FI). Speckle can be reduced by frequency compounding (FC), which means incoherently averaging the images with different speckle patterns acquired by changing the center frequency of the pulse. As for the THI, the difference in the emission spectrum doubles when using the FC. In this paper, we propose an interlaced iterative frequency compounding (IIFC) method with the pulse inversion (PI) technique. The new method brings a good speckle suppression performance while the high frame rate is retained. To illustrate the performance of our method, experiments have been conducted on the simulated data. A nonlinear simulation platform based on the full-wave model is used in the harmonic imaging simulation. Results show that our method brings the SNR an improvement of up to 22% in comparison with the single frame THI while maintaining a far better performance in both terms of resolution and contrast than the FI. We also demonstrate that our method for THI retains the high frame rate although using PI.
{"title":"Ultrasound harmonic imaging with reducing speckle noise by an interlaced iterative frequency compounding approach","authors":"Wei Guo, Yuanyuan Wang, Jinhua Yu","doi":"10.1109/BMEI.2015.7401469","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401469","url":null,"abstract":"Speckle noise is a phenomenon inherent in any coherent imaging system and decreases the signal-to-noise ratio (SNR), which brings down the imaging quality. Speckle noise reduction is particularly important in the tissue harmonic imaging (THI) since it has the lower energy and the poorer SNR than the fundamental imaging (FI). Speckle can be reduced by frequency compounding (FC), which means incoherently averaging the images with different speckle patterns acquired by changing the center frequency of the pulse. As for the THI, the difference in the emission spectrum doubles when using the FC. In this paper, we propose an interlaced iterative frequency compounding (IIFC) method with the pulse inversion (PI) technique. The new method brings a good speckle suppression performance while the high frame rate is retained. To illustrate the performance of our method, experiments have been conducted on the simulated data. A nonlinear simulation platform based on the full-wave model is used in the harmonic imaging simulation. Results show that our method brings the SNR an improvement of up to 22% in comparison with the single frame THI while maintaining a far better performance in both terms of resolution and contrast than the FI. We also demonstrate that our method for THI retains the high frame rate although using PI.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121807364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401479
Yanzhi Ding, I. Park, X. Cui, Van Huan Nguyen, Hakil Kim, T. Do, Wei Li
This paper proposes an inter-level and intra-level deconvolution based image deblurring algorithm (ILILD) for microscopic images. Pyramid structure is used, and inter-level deconvolution is applied to estimate latent image from coarse level to fine level. The inter-level algorithm is based on total variation regularized Richardson-Lucy scheme, which can estimate latent image with artifacts suppressed. After inter-level deconvolution, intra-level deconvolution is applied. In each pyramid level of image, the residual deconvolution is done as the intra-level deconvolution scheme to recover image edges and details furtherly. Experiments show that ILILD algorithm can estimate latent images in less time and the results have better peak signal to noise ratio, higher image entropies and few artifacts.
{"title":"Inter-level and intra-level deconvolution based image deblurring algorithm for wide field microscopy","authors":"Yanzhi Ding, I. Park, X. Cui, Van Huan Nguyen, Hakil Kim, T. Do, Wei Li","doi":"10.1109/BMEI.2015.7401479","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401479","url":null,"abstract":"This paper proposes an inter-level and intra-level deconvolution based image deblurring algorithm (ILILD) for microscopic images. Pyramid structure is used, and inter-level deconvolution is applied to estimate latent image from coarse level to fine level. The inter-level algorithm is based on total variation regularized Richardson-Lucy scheme, which can estimate latent image with artifacts suppressed. After inter-level deconvolution, intra-level deconvolution is applied. In each pyramid level of image, the residual deconvolution is done as the intra-level deconvolution scheme to recover image edges and details furtherly. Experiments show that ILILD algorithm can estimate latent images in less time and the results have better peak signal to noise ratio, higher image entropies and few artifacts.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133166319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401483
Yuxi Lian, Yuanyuan Wang, Jinhua Yu, Yi Guo, Liang Chen
Digital subtraction angiography (DSA) plays an important role in the diagnosis and therapy of vascular diseases. Segmentation of nidus and vessel in DSA images is an essential step in the diagnosis of arteriovenous malformations (AVM). In this paper, a novel segmentation method based on the global and iterative local thresholding is proposed to segment the nidus and vessel in DSA images. Firstly, the original image is divided into proper subimages. For each subimage, Ostu's method is primarily used and pixels are classified into two groups by the threshold. Then, according to the variance of the subimage intensities, the mean or median values of two groups are calculated to sort the pixels into three classes. These three classes represent the dark AVM and vessel, the bright background and undetermined regions in the original DSA image. The first two classes are determined directly and will not be processed further. The undetermined regions are processed in the next iteration to segment tiny vessels until the thresholds between two iterations are less than a preset one. Finally, all classes are combined to create the segmentation result. We test this method on DSA images of the AVM. Experimental results show that the proposed method performs better than the other state-of-the-art methods in the segmentation of DSA images. The proposed method can identify fine and tiny vessel structures, as well as distinguish large AVM nidus in one framework.
{"title":"Segmentation of arteriovenous malformations nidus and vessel in digital subtraction angiography images based on an iterative thresholding method","authors":"Yuxi Lian, Yuanyuan Wang, Jinhua Yu, Yi Guo, Liang Chen","doi":"10.1109/BMEI.2015.7401483","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401483","url":null,"abstract":"Digital subtraction angiography (DSA) plays an important role in the diagnosis and therapy of vascular diseases. Segmentation of nidus and vessel in DSA images is an essential step in the diagnosis of arteriovenous malformations (AVM). In this paper, a novel segmentation method based on the global and iterative local thresholding is proposed to segment the nidus and vessel in DSA images. Firstly, the original image is divided into proper subimages. For each subimage, Ostu's method is primarily used and pixels are classified into two groups by the threshold. Then, according to the variance of the subimage intensities, the mean or median values of two groups are calculated to sort the pixels into three classes. These three classes represent the dark AVM and vessel, the bright background and undetermined regions in the original DSA image. The first two classes are determined directly and will not be processed further. The undetermined regions are processed in the next iteration to segment tiny vessels until the thresholds between two iterations are less than a preset one. Finally, all classes are combined to create the segmentation result. We test this method on DSA images of the AVM. Experimental results show that the proposed method performs better than the other state-of-the-art methods in the segmentation of DSA images. The proposed method can identify fine and tiny vessel structures, as well as distinguish large AVM nidus in one framework.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115788364","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401472
Huashan Ye, G. Shang, Lina Wang, Min Zheng
Hough transform (HT) is a typical method to detect or segment geometry objects from images. In this paper, we study the principle of Hough Transform and its mathematical expressions, and try to use a new approach based on Hough transform for quick line and circle detection in image processing. Our method accurately detected some simple graphics, such as straight line of different direction, circles of different detection, thickness and different number. The results show that our method is less memory consumption and calculated fast, which could be applied for line detection and segmentation in 3D ultrasonic image.
{"title":"A new method based on hough transform for quick line and circle detection","authors":"Huashan Ye, G. Shang, Lina Wang, Min Zheng","doi":"10.1109/BMEI.2015.7401472","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401472","url":null,"abstract":"Hough transform (HT) is a typical method to detect or segment geometry objects from images. In this paper, we study the principle of Hough Transform and its mathematical expressions, and try to use a new approach based on Hough transform for quick line and circle detection in image processing. Our method accurately detected some simple graphics, such as straight line of different direction, circles of different detection, thickness and different number. The results show that our method is less memory consumption and calculated fast, which could be applied for line detection and segmentation in 3D ultrasonic image.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124807896","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401505
Mingyu Liu, S. Qiu, Jinyong Lin, Weilin Wu, Guannan Chen, Rong Chen
Raman spectroscopy (RS) of Nasopharyngeal carcinoma (NPC) tissue contained various biomedicine features. These features indicated molecular-level information of tissue at different carcinoma development-level. This study suggested an automatic and quick method for the NPC Raman spectra classification at different stages by multivariate statistical analysis. In the RS measurement, high quality Raman spectra was acquired from each NPC tissue sample in two groups: one group consisted of 30 NPC patients at the early stages (I-II), another group was 46 NPC patients at the advanced stages (III-IV). Moreover, tentative diagnostic algorithms based on principle components analysis (PCA) and support vector machine (SVM) were employed to classify the multivariate data of Raman spectra effectively. The classification performance (sensitivities and specificities were 70% (21/30) and 91% (42/46)) was achieved by the PCA-SVM in conjunction with leave-one-out cross validation method. In this beneficial study, the RS technique in conjunction with PCA-SVM provided a great clinical potential for rapid NPC stage diagnosis.
{"title":"Test of label-free Nasopharyngeal carinoma tissue at different stages by Raman spectroscopy","authors":"Mingyu Liu, S. Qiu, Jinyong Lin, Weilin Wu, Guannan Chen, Rong Chen","doi":"10.1109/BMEI.2015.7401505","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401505","url":null,"abstract":"Raman spectroscopy (RS) of Nasopharyngeal carcinoma (NPC) tissue contained various biomedicine features. These features indicated molecular-level information of tissue at different carcinoma development-level. This study suggested an automatic and quick method for the NPC Raman spectra classification at different stages by multivariate statistical analysis. In the RS measurement, high quality Raman spectra was acquired from each NPC tissue sample in two groups: one group consisted of 30 NPC patients at the early stages (I-II), another group was 46 NPC patients at the advanced stages (III-IV). Moreover, tentative diagnostic algorithms based on principle components analysis (PCA) and support vector machine (SVM) were employed to classify the multivariate data of Raman spectra effectively. The classification performance (sensitivities and specificities were 70% (21/30) and 91% (42/46)) was achieved by the PCA-SVM in conjunction with leave-one-out cross validation method. In this beneficial study, the RS technique in conjunction with PCA-SVM provided a great clinical potential for rapid NPC stage diagnosis.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131693595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401608
Wei Sun, Xiaoying Song, Fasheng Wang
Clustering protocol for data gathering is one of the effective ways to solve the energy hole problem in wireless sensor networks. However, most of the existing clustering protocols focus on the network model with uniform node distribution. They cannot effectively apply to the real network where the sensor nodes are randomly non-uniformly deployed. In this paper, we propose an energy-balanced clustering routing protocol (EBCRP) based on task separation. In this scheme, the network is firstly divided into clusters by using global information. And each of them has the same number of sensor nodes in order to balance the energy consumption of intra-cluster. In succession, task separation, the tasks of traditional single cluster head are separated and achieved by two cluster heads respectively, is proposed to reduce the traffic burden for single cluster head. Then, we explore an energy-efficient and reliable inter-cluster routing algorithm, which considers comprehensively three factors: residual energy, distance and available buffer space of nodes. Simulation results and performance evaluation of EBCRP show significant improvement in network lifetime and energy balance.
{"title":"Energy-balanced clustering routing protocol based on task separation in wireless sensor networks","authors":"Wei Sun, Xiaoying Song, Fasheng Wang","doi":"10.1109/BMEI.2015.7401608","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401608","url":null,"abstract":"Clustering protocol for data gathering is one of the effective ways to solve the energy hole problem in wireless sensor networks. However, most of the existing clustering protocols focus on the network model with uniform node distribution. They cannot effectively apply to the real network where the sensor nodes are randomly non-uniformly deployed. In this paper, we propose an energy-balanced clustering routing protocol (EBCRP) based on task separation. In this scheme, the network is firstly divided into clusters by using global information. And each of them has the same number of sensor nodes in order to balance the energy consumption of intra-cluster. In succession, task separation, the tasks of traditional single cluster head are separated and achieved by two cluster heads respectively, is proposed to reduce the traffic burden for single cluster head. Then, we explore an energy-efficient and reliable inter-cluster routing algorithm, which considers comprehensively three factors: residual energy, distance and available buffer space of nodes. Simulation results and performance evaluation of EBCRP show significant improvement in network lifetime and energy balance.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131961624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401615
Ming Huang, Zhenjuan Zhang
An intellectual non-invasive anesthesia machine monitoring system is analyzed in this paper. The system consists of a data acquisition terminal, a communication module and a PC/104 monitoring platform. The data acquisition terminal detects the real-time parameters including tidal flow, airway pressure and oxygen concentration. These parameters will be transmitted to the monitoring platform through serial ports for records and analysis. In this way, the flow, pressure and concentration of the medicine can be controlled for the general anesthesia on the patient. With advantages of intuitive alarm signals, safe and reliable environment, and complete function, the system also realizes the expert diagnosis by XMLHttpRequest and Server-Sent Events technology. After repeated validation test, the system can work steadily and will have a wide application prospect in the market.
{"title":"Design and implementation of the anesthesia machine monitoring system","authors":"Ming Huang, Zhenjuan Zhang","doi":"10.1109/BMEI.2015.7401615","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401615","url":null,"abstract":"An intellectual non-invasive anesthesia machine monitoring system is analyzed in this paper. The system consists of a data acquisition terminal, a communication module and a PC/104 monitoring platform. The data acquisition terminal detects the real-time parameters including tidal flow, airway pressure and oxygen concentration. These parameters will be transmitted to the monitoring platform through serial ports for records and analysis. In this way, the flow, pressure and concentration of the medicine can be controlled for the general anesthesia on the patient. With advantages of intuitive alarm signals, safe and reliable environment, and complete function, the system also realizes the expert diagnosis by XMLHttpRequest and Server-Sent Events technology. After repeated validation test, the system can work steadily and will have a wide application prospect in the market.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132885997","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2015-10-01DOI: 10.1109/BMEI.2015.7401606
Shan Liu, Fang Wang, Jianping Chai
With the popularity of smart phones and the rapid development of wireless communication technologies, people tend to determine their indoor location in the complex indoor environment such as a library, exhibition hall and shopping malls using location-based services. However, in many scenarios, two-dimensional positioning system has been unable to meet the needs. In this paper, we research on the three-dimensional positioning system using location fingerprinting techniques, improve the algorithm based on K Nearest Neighborhood, and establish the three-dimensional positioning system. The results showed that our simulation model can achieve a more accurate result than two-dimensional models.
{"title":"A three-dimensional positioning system based on RSSI for the wireless sensor network","authors":"Shan Liu, Fang Wang, Jianping Chai","doi":"10.1109/BMEI.2015.7401606","DOIUrl":"https://doi.org/10.1109/BMEI.2015.7401606","url":null,"abstract":"With the popularity of smart phones and the rapid development of wireless communication technologies, people tend to determine their indoor location in the complex indoor environment such as a library, exhibition hall and shopping malls using location-based services. However, in many scenarios, two-dimensional positioning system has been unable to meet the needs. In this paper, we research on the three-dimensional positioning system using location fingerprinting techniques, improve the algorithm based on K Nearest Neighborhood, and establish the three-dimensional positioning system. The results showed that our simulation model can achieve a more accurate result than two-dimensional models.","PeriodicalId":119361,"journal":{"name":"2015 8th International Conference on Biomedical Engineering and Informatics (BMEI)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133530951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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